De-la-Torre, M.; Zatarain, O.; Avila-George, H.; Muñoz, M.; Oblitas, J.; Lozada, R.; MejÃa, J.; Castro, W.
Multivariate Analysis and Machine Learning for Ripeness Classification of Cape Gooseberry Fruits. Processes 2019, 7, 928.
https://doi.org/10.3390/pr7120928
AMA Style
De-la-Torre M, Zatarain O, Avila-George H, Muñoz M, Oblitas J, Lozada R, MejÃa J, Castro W.
Multivariate Analysis and Machine Learning for Ripeness Classification of Cape Gooseberry Fruits. Processes. 2019; 7(12):928.
https://doi.org/10.3390/pr7120928
Chicago/Turabian Style
De-la-Torre, Miguel, Omar Zatarain, Himer Avila-George, Mirna Muñoz, Jimy Oblitas, Russel Lozada, Jezreel MejÃa, and Wilson Castro.
2019. "Multivariate Analysis and Machine Learning for Ripeness Classification of Cape Gooseberry Fruits" Processes 7, no. 12: 928.
https://doi.org/10.3390/pr7120928
APA Style
De-la-Torre, M., Zatarain, O., Avila-George, H., Muñoz, M., Oblitas, J., Lozada, R., MejÃa, J., & Castro, W.
(2019). Multivariate Analysis and Machine Learning for Ripeness Classification of Cape Gooseberry Fruits. Processes, 7(12), 928.
https://doi.org/10.3390/pr7120928